{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/bandre-rethinking-band-pass-filters-for-scale","title":"BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation","arxiv_id":"2307.11748","date":"2023-07-21","proceeding":null,"authors":["Yosuke Shinya"],"abstract":"Scale-wise evaluation of object detectors is important for real-world applications. However, existing metrics are either coarse or not sufficiently reliable. In this paper, we propose novel scale-wise metrics that strike a balance between fineness and reliability, using a filter bank consisting of triangular and trapezoidal band-pass filters. We conduct experiments with two methods on two datasets and show that the proposed metrics can highlight the differences between the methods and between the datasets. Code is available at https://github.com/shinya7y/UniverseNet .","url_abs":"https://arxiv.org/abs/2307.11748v1","url_pdf":"https://arxiv.org/pdf/2307.11748v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"bandre-rethinking-band-pass-filters-for-scale","repo_url":"https://github.com/shinya7y/UniverseNet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"real-time-object-detection","task_name":"Real-Time Object Detection"},{"task_slug":"small-object-detection","task_name":"Small Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/small-object-detection-on-sod4sb-private-test","task":"Small Object Detection","dataset":"SOD4SB Private Test","model":"GFL + Test Time Augmentation","rank_in_archive_order":2,"of":5,"metrics":{"AP50":"23.7"},"uses_additional_data":true},{"leaderboard":"/sota/small-object-detection-on-sod4sb-public-test-1","task":"Small Object Detection","dataset":"SOD4SB Public Test","model":"GFL + Test Time Augmentation","rank_in_archive_order":2,"of":5,"metrics":{"AP50":"73.1"},"uses_additional_data":true}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}